招聘
About Us:
Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.
We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil.
Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g., Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role
We have a product that engineers love, a rapidly growing customer base, and a compelling story that becomes challenging to maintain as both evolve. We need someone to tackle a significant portion of this challenge: positioning, crafting copy across all platforms, developing launch strategies, enabling sales, and creating supporting content.
You will collaborate with our Head of Product Marketing to ensure that our narrative remains clear and relevant as we progress. You'll also work closely with the Sales team to understand what resonates in deals and lead initiatives such as case studies, videos, and product updates.
Your writing will target ML engineers and technical buyers, so you'll need enough understanding to establish credibility with this audience, even if you aren't an engineer yourself. We're a product-led growth (PLG) company with an enterprise sales approach, so you'll navigate both environments effectively.
In this role you will:
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Partner with leadership on GTM strategy, messaging, and product launch strategy
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Develop positioning that lands with AI and ML Engineers, along with technical decision makers
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Own the narrative and copy across all of our surfaces (web, video, email, social, events) to ensure it communicates our value proposition and vibe clearly and consistently
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Optimize distribution across key channels (i.e. Twitter, LinkedIn, YouTube, etc)
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Partner with Sales to understand what's blocking deals and translate that into sharper messaging and better collateral
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Take the lead in driving content initiatives, specifically around case studies, video, product updates
Requirements
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5+ years of experience in product marketing within developer tools and/or AI.
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Strong understanding of the fundamentals of our space - you don’t need to be an engineer, but you should be comfortable communicating technical concepts to engineers
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You get we’re marketing to humans (and now their agents). And those people make purchasing decisions. So you’re comfortable jumping between B2C/PLG and an enterprise sales motion
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Excellent writing, editing, and communication skills. You have good taste and take pride in doing great work, even on small details
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Excel at crafting positioning and messaging that resonates with practitioner and technical buyers alike
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Have a track record of successful product launches that drove measurable business impact
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Ability to work in-person in a fast-paced, high-growth startup environment
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关于Modal

Modal
AcquiredModal, formerly known as Next Technology Inc., was an American-based company in San Francisco, that sold software for a dealership's website, allowing car shoppers to purchase new and used cars online.
San Francisco
总部位置
评价
3.9
10条评价
工作生活平衡
3.5
薪酬
2.8
企业文化
4.2
职业发展
3.0
管理层
4.3
72%
推荐给朋友
优点
Supportive and approachable management
Flexible hours and remote work options
Great team culture and collaboration
缺点
Compensation not competitive
Heavy workload and long hours
Limited career advancement opportunities
薪资范围
33个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Research Associate II
2份报告
$103,500
年薪总额
基本工资
$90,000
股票
-
奖金
-
$103,500
$103,500
面试经验
3次面试
难度
3.3
/ 5
时长
14-28周
录用率
33%
体验
正面 33%
中性 34%
负面 33%
面试流程
1
Application Review
2
Online Assessment/Take-Home
3
Technical Screen
4
Technical Interview
5
Offer
常见问题
Coding/Algorithm
Technical Knowledge
System Design
Past Experience
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